DEVELOPMENT... OpenML
Run
35909

Run 35909

Task 4466 (Supervised Classification) hip Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8338
Per class
Build CPU time
0.011
Build memory
262156481.0963
F measure
0.7943
Per class
Kappa
0.5878
KB relative information score
263.2586
Mean absolute error
0.2667
Mean prior absolute error
0.4993
Number of instances
540
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7945
Per class
Predictive accuracy
0.7944
Prior entropy
0.9991
Recall
0.7944
Per class
Relative absolute error
0.5341
Root mean prior squared error
0.4997
Root mean squared error
0.4074
Root relative squared error
0.8154
SciMark benchmark
940.9202